Data Management And Sharing System of China National Clinical Research Center for Neurological Diseases

Semi-quantitative FDG-PET Analysis Increases the Sensitivity Compared With Visual Analysis in the Diagnosis of Autoimmune Encephalitis

First author:Lv Rui-Juan

Corresponding author:Zhao Xiao-Bin,Liu Jiangang

FDG-PET; autoimmune encephalitis; semi-quantitativ

essential_information

  • Person in charge:Lv Rui-Juan
  • Data Sources: OTHERS
  • Number of papers:OTHERS20190829
  • Published time:2019-06-06

2019-06-06

Published articles

Journal:Front Neurol

Publication type: Original Research

IF(IF): 4.003

PMID: 31244751 Link To Pubmed Full text Download

Background And Purpose

Method

This observational retrospective case series study was conducted from a tertiary epilepsy center between May 2014 and March 2017. Healthy individuals without any neurologic or psychiatric diseases were recruited as control. We determined brain FDG-PET abnormal glucose metabolism on medial temporal lobe and basal ganglia using semi-quantitative analysis and compared this method with visual analysis at the same time among patients with autoantibody positive AE.

Conclusion

This study showed semi-quantitative brain FDG-PET analysis was better than visual analysis in view of observing the abnormal glucose metabolism of patients with autoantibody positive AE. Semi-quantitative FDG-PET analysis appears to be a helpful tool in early diagnosis of patients with AE.

Main results

Twenty-eight patients with clinically diagnosed AE and 53 healthy individuals without any neurologic or psychiatric diseases were recruited. On the medial temporal lobe and the basal ganglia, semi-quantitative analysis showed consistency with the visual assessment for whom they had abnormal metabolism by visual assessment. More importantly, 56% patients on medial temporal lobe and 73% patients on the basal ganglia respectively who were not identified by visual inspection can be detected by semi-quantitative analysis, demonstrating the greater sensitivity of semi-quantitative analysis compared with visual assessment.